build: modernize license metadata

Author: tomas-gajarsky

CHANGELOG.md

@@ -33,6 +33,8 @@ Released on May 1, 2026.
 * All model files migrated from TorchScript (.pt) to torch.export (.pt2) portable format with dynamic batch support
 * Model artifact strategy changed to prioritize portability and install-time simplicity over TorchScript-specific runtime behavior: `.pt2` artifacts do not require bundled model source code, while versioned cohorts handle PyTorch exported-program schema differences across supported torch runtimes (`2.3`, `2.6`, `2.11`)
 * AU predictor model rewritten with timm Swin Transformer backbone for torch.export compatibility
+* Build metadata now uses PEP 639 SPDX license fields with `setuptools>=77.0.3`, removing the setuptools license-table deprecation warning
+* uv PyTorch index configuration now uses explicit `torch`/`torchvision` sources instead of a global extra index, so non-PyTorch packages resolve from PyPI by default
 * Docker dev/test images migrated from conda/conda-lock to [uv](https://github.com/astral-sh/uv) for faster builds
 * Docker production images now use uv as a pip drop-in
 * Development dependencies consolidated from `requirements.dev.txt` into `pyproject.toml`

README.md

@@ -370,6 +370,7 @@ the requirements of the new model.
 * Conda package publishing (`conda-forge/facetorch`) is maintained outside this repository in conda-forge feedstock workflows.
 * `environment.yml` and `gpu.environment.yml` are conda environment baselines for conda users.
 * The GPU conda baseline uses conda-forge `cuda-version=12.4` instead of `cudatoolkit`; pass `--with-cuda` when regenerating the GPU lock so conda-lock can resolve CUDA virtual packages without requiring a local GPU.
+* uv uses PyPI for normal packages and an explicit named PyTorch CPU index only for `torch` and `torchvision`, avoiding global extra-index resolution drift.
 * Overlapping dependencies between pyproject and conda env files are intentionally kept aligned.
 * CI enforces this with: `python scripts/check_dependency_sync.py`.
 

pyproject.toml

@@ -1,13 +1,14 @@
 [build-system]
-requires = ["setuptools>=63.4.2", "wheel"]
+requires = ["setuptools>=77.0.3", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [project]
 name = "facetorch"
 version = "1.0.0"
 description = "Face analysis PyTorch framework."
 readme = "README.md"
-license = {text = "Apache-2.0"}
+license = "Apache-2.0"
+license-files = ["LICENSE"]
 requires-python = ">=3.10,<3.14"
 authors = [
     { name = "Tomas Gajarsky", email = "gajarsky.tomas@gmail.com" },
@@ -51,7 +52,7 @@ dev = [
     "pdoc3>=0.8",
     "pytest>=6.0.0",
     "pytest-cov>=2.10.0",
-    "setuptools>=63.4.2",
+    "setuptools>=77.0.3",
     "snakeviz>=2.1.0",
     "twine>=3.2.0",
 ]
@@ -61,8 +62,14 @@ Homepage = "https://github.com/tomas-gajarsky/facetorch"
 Download = "https://pypi.org/project/facetorch/"
 Documentation = "https://tomas-gajarsky.github.io/facetorch/facetorch/index.html"
 
-[tool.uv]
-extra-index-url = ["https://download.pytorch.org/whl/cpu"]
+[tool.uv.sources]
+torch = { index = "pytorch-cpu" }
+torchvision = { index = "pytorch-cpu" }
+
+[[tool.uv.index]]
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+explicit = true
 
 [tool.setuptools.packages.find]
 exclude = ["tests*", "model_defs*", "scripts*"]